Brown, G. D. A. (Gordon D. A.), Hulme, Charles, Hyland, P. and Mitchell, Ian John (1994) Cell suicide in the developing nervous system : a functional neural network model. Cognitive Brain Research, Vol.2 (No.1). pp. 71-75. doi:10.1016/0926-6410(94)90022-1

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Abstract

A computational model of programmed cell death (PCD) in the nervous system is described. A neurobiologically realisable method for identifying and removing the least useful cells from a network is developed, and it is shown by simulation that an artificial neural network can solve difficult problems efficiently if it is given more neurons initially than it needs subsequently. The least useful neurons die off gradually after learning is complete, and the learned solution can then be maintained with a smaller number of units than were needed for initial learning. The research suggests a functional role for PCD, and how self-limiting PCD could be achieved in real neural systems.

Item Type:	Journal Article
Subjects:	B Philosophy. Psychology. Religion > BF Psychology Q Science > QP Physiology
Divisions:	Faculty of Science > Psychology
Library of Congress Subject Headings (LCSH):	Cell death, Nervous system, Neural networks (Neurobiology), Neural networks (Computer science), Computational neuroscience, Apoptosis, Developmental neurobiology
Journal or Publication Title:	Cognitive Brain Research
Publisher:	Elsevier BV
ISSN:	0926-6410
Official Date:	1994
Dates:	Date Event 1994 Published
Volume:	Vol.2
Number:	No.1
Page Range:	pp. 71-75
DOI:	10.1016/0926-6410(94)90022-1
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	Economic and Social Research Council (Great Britain) (ESRC), Wellcome Trust (London, England), McDonnell-Pew Program in Cognitive Neuroscience

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